Building Data Driven Community Partnerships Using Free Technology
Frank Ridzi, Le Moyne College – Central New York Community Foundation
Research shows us that there are broader social “determinants of education” beyond what transpires within school hours and school buildings. Out-of-school factors such as health issues, family income, and others account for up to two-thirds of student academic performance. As we seek to help our youth recover from their pandemic-interrupted schooling, we must also keep in mind that these social determinants of education have also been profoundly disrupted in many ways. While community partnership with service providers and family engagement can help to stabilize our youth as they transition back to face-to-face instruction, the pandemic has made the types and magnitude of support needed volatile and hard to decipher.
In this session we explore how simple strategies using free online technologies can create the infrastructure for building a data driven approach to community partnerships focused on the social determinants of education. We use the example of Syracuse, New York to demonstrate how data can be used to:
1) identify rapidly changing needs of families with school-aged children;
2) conduct rapid outreach to families with similar identified needs in order to solicit their input for programmatic responses;
3) rapidly identify needed community partner organizations and connect them with families in need;
4) use data dashboards to set goals for and implement continuous improvement; and
5) deploy a Diversity, Equity and Inclusion lens to goal setting and tracking.